Senior Data Science Engineer

Overview

As a Senior Data Science Engineer at Hippo, you lead the production of user-centred data science solutions that align with business goals. You will work in cross-functional squads to design and deliver complex data solutions, while expanding capabilities and mentoring engineers. You’ll manage ML deployment pipelines and address bottlenecks, ensuring secure, scalable, and well-engineered systems. This role offers growth at the senior level within a collaborative, agile environment that values impact on clients and society.

Pay / Benefits

• Contributory Pension Scheme
• 25 Days Holiday + public holidays
• Perkbox discounts
• Critical illness cover
• Life assurance and death in service cover
• Volunteer days

Responsibilities

• Lead production of user-centred data science solutions aligned to business requirements
• Facilitate stakeholder collaboration to design and deliver solutions to complex problems
• Develop and expand Data Science capabilities and support capability building
• Manage ML deployment pipelines (MLOps) and resolve bottlenecks
• Mentor and coach other engineers to support their professional development

Key requirements

• Extensive experience in Python and proficiency in other languages (SQL, R, Java)
• Strong experience deploying and monitoring ML (MLOps) using MLflow, AWS Sagemaker, and Azure ML
• Proven track record delivering high-quality, scalable data science solutions
• Expertise in Data Manipulation, ML, and Statistical Analysis coding packages
• Strong experience testing data models and Machine Learning models
• Deep understanding of product delivery from requirements to desirable business outcomes

• Stakeholder collaboration
• Mentoring and coaching
• Communication and cross-functional teamwork
• Python
• SQL
• R